v1v2v3 (latest)

DeepFool: a simple and accurate method to fool deep neural networks

14 November 2015

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "DeepFool: a simple and accurate method to fool deep neural networks"

50 / 2,298 papers shown

Title
Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation Ching-Chia Kao Jhe-Bang Ko Chun-Shien Lu AAML 55 1 0 28 Nov 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences Haojing Shen Sihong Chen Ran Wang Xizhao Wang AAML 61 0 0 28 Nov 2020
Voting based ensemble improves robustness of defensive models Devvrit Minhao Cheng Cho-Jui Hsieh Inderjit Dhillon OOD FedML AAML 66 12 0 28 Nov 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 70 5 0 27 Nov 2020
3D Invisible Cloak Mingfu Xue Can He Zhiyu Wu Jian Wang Zhe Liu Weiqiang Liu 59 1 0 27 Nov 2020
ShapeFlow: Dynamic Shape Interpreter for TensorFlow Sahil Verma Z. Su 22 11 0 26 Nov 2020
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect Athena Sayles Ashish Hooda M. Gupta Rahul Chatterjee Earlence Fernandes AAML 87 78 0 26 Nov 2020
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 71 34 0 25 Nov 2020
Adversarial Attack on Facial Recognition using Visible Light Morgan Frearson Kien Nguyen AAML 41 7 0 25 Nov 2020
Stochastic sparse adversarial attacks M. Césaire Théo Combey H. Hajri Sylvain Lamprier Patrick Gallinari AAML 61 9 0 24 Nov 2020
Towards Imperceptible Universal Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 41 1 0 24 Nov 2020
Augmented Lagrangian Adversarial Attacks Jérôme Rony Eric Granger M. Pedersoli Ismail Ben Ayed AAML 82 39 0 24 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 97 293 0 24 Nov 2020
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack Rui Shu Tianpei Xia Laurie A. Williams Tim Menzies AAML 70 16 0 23 Nov 2020
Learnable Boundary Guided Adversarial Training Jiequan Cui Shu Liu Liwei Wang Jiaya Jia OOD AAML 113 132 0 23 Nov 2020
Better Aggregation in Test-Time Augmentation Divya Shanmugam Davis W. Blalock Guha Balakrishnan John Guttag ViT 100 148 0 23 Nov 2020
Multi-Task Adversarial Attack Pengxin Guo Yuancheng Xu Baijiong Lin Yu Zhang AAML 50 8 0 19 Nov 2020
Adversarial collision attacks on image hashing functions Brian Dolhansky Cristian Canton Ferrer AAML 118 21 0 18 Nov 2020
Adversarial Turing Patterns from Cellular Automata Nurislam Tursynbek I. Vilkoviskiy Maria Sindeeva Ivan Oseledets AAML 47 4 0 18 Nov 2020
Self-Gradient Networks Hossein Aboutalebi M. Shafiee AAML 27 0 0 18 Nov 2020
Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs Arezoo Rajabi R. Bobba OODD AAML 21 2 0 18 Nov 2020
Statistical model-based evaluation of neural networks Sandipan Das P. B. Gohain Alireza M. Javid Yonina C. Eldar Saikat Chatterjee 23 0 0 18 Nov 2020
Extreme Value Preserving Networks Mingjie Sun Jianguo Li Changshui Zhang AAML MDE 26 0 0 17 Nov 2020
Learning Models for Actionable Recourse Alexis Ross Himabindu Lakkaraju Osbert Bastani FaML 106 19 0 12 Nov 2020
Detecting Adversarial Patches with Class Conditional Reconstruction Networks Perry Deng Mohammad Saidur Rahman M. Wright AAML 65 2 0 11 Nov 2020
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 151 11 0 10 Nov 2020
Risk Assessment for Machine Learning Models Paul Schwerdtner Florens Greßner Nikhil Kapoor F. Assion René Sass W. Günther Fabian Hüger Peter Schlicht 38 6 0 09 Nov 2020
Bridging the Performance Gap between FGSM and PGD Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 46 20 0 07 Nov 2020
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 96 16 0 06 Nov 2020
Adversarial Examples in Constrained Domains Ryan Sheatsley Nicolas Papernot Mike Weisman Gunjan Verma Patrick McDaniel AAML 69 24 0 02 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 60 1 0 02 Nov 2020
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks Lubin Meng Jian Huang Zhigang Zeng Xue Jiang Shan Yu T. Jung Chin-Teng Lin Ricardo Chavarriaga Dongrui Wu AAML 83 35 0 30 Oct 2020
Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks? Roger Granda Tinne Tuytelaars José Oramas AAML 13 1 0 29 Oct 2020
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection Yongwei Wang Xin Ding Li Ding Rabab Ward Z. J. Wang AAML 41 21 0 29 Oct 2020
WaveTransform: Crafting Adversarial Examples via Input Decomposition Divyam Anshumaan Akshay Agarwal Mayank Vatsa Richa Singh AAML 52 11 0 29 Oct 2020
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification Arslan Ali A. Migliorati T. Bianchi E. Magli AAML OOD OODD 29 1 0 29 Oct 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 78 17 0 28 Oct 2020
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu ObjD AAML 80 4 0 27 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 108 234 0 26 Oct 2020
Asymptotic Behavior of Adversarial Training in Binary Classification Hossein Taheri Ramtin Pedarsani Christos Thrampoulidis AAML 88 16 0 26 Oct 2020
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound S. Chhabra Akshay Agarwal Richa Singh Mayank Vatsa AAML 64 3 0 25 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 80 41 0 25 Oct 2020
Towards Robust Neural Networks via Orthogonal Diversity Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie Yang AAML 92 8 0 23 Oct 2020
Contrastive Learning with Adversarial Examples Chih-Hui Ho Nuno Vasconcelos SSL 92 142 0 22 Oct 2020
Adversarial Attacks on Binary Image Recognition Systems Eric Balkanski Harrison W. Chase Kojin Oshiba Alexander Rilee Yaron Singer Richard Wang AAML 76 4 0 22 Oct 2020
Boosting Gradient for White-Box Adversarial Attacks Hongying Liu Zhenyu Zhou Fanhua Shang Xiaoyu Qi Yuanyuan Liu L. Jiao AAML 49 8 0 21 Oct 2020
Ulixes: Facial Recognition Privacy with Adversarial Machine Learning Thomas Cilloni Wei Wang Charles Walter Charles Fleming PICV AAML 37 8 0 20 Oct 2020
L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set Zhen Xiang David J. Miller G. Kesidis AAML 141 15 0 20 Oct 2020
A Survey of Machine Learning Techniques in Adversarial Image Forensics Ehsan Nowroozi Ali Dehghantanha R. Parizi K. Choo AAML 69 73 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020